Unified fa\u00e7ade over MathNN attention\/curiosity, RL intrinsic motivation, and cognitive-drive ODEs.<\/p>\n\n\n\n
[text] [text] [text] <\/p>\n","protected":false},"excerpt":{"rendered":" Unified fa\u00e7ade over MathNN attention\/curiosity, RL intrinsic motivation, and cognitive-drive ODEs. Stack [text]Salience (candidates) \u2192 Attention (curiosity-biased) \u2192 Focus top-k \u2191 \u2191 weather\/hazards \u03b2_eff from drives + bodyCuriosity (count + episodic mem) \u2192 intrinsic reward \/ shapeDrives ODE: attention, arousal, curiosity, fatigue, confidence Commands [text]layers status|doctor|metrics|selftestlayers mode task|explore|safety|sociallayers capacity 5 | beta 1.5layers link body […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1958","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"http:\/\/macdaddy4sure.ai\/index.php\/wp-json\/wp\/v2\/posts\/1958","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/macdaddy4sure.ai\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/macdaddy4sure.ai\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/macdaddy4sure.ai\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/macdaddy4sure.ai\/index.php\/wp-json\/wp\/v2\/comments?post=1958"}],"version-history":[{"count":1,"href":"http:\/\/macdaddy4sure.ai\/index.php\/wp-json\/wp\/v2\/posts\/1958\/revisions"}],"predecessor-version":[{"id":1959,"href":"http:\/\/macdaddy4sure.ai\/index.php\/wp-json\/wp\/v2\/posts\/1958\/revisions\/1959"}],"wp:attachment":[{"href":"http:\/\/macdaddy4sure.ai\/index.php\/wp-json\/wp\/v2\/media?parent=1958"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/macdaddy4sure.ai\/index.php\/wp-json\/wp\/v2\/categories?post=1958"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/macdaddy4sure.ai\/index.php\/wp-json\/wp\/v2\/tags?post=1958"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
<\/em>Salience (candidates) \u2192 Attention (curiosity-biased) \u2192 Focus top-k
\u2191 \u2191
weather\/hazards \u03b2_eff from drives + body
Curiosity (count + episodic mem) \u2192 intrinsic reward \/ shape
Drives ODE: attention, arousal, curiosity, fatigue, confidence<\/p>\n\n\n\nCommands<\/h2>\n\n\n\n
<\/em>layers status|doctor|metrics|selftest
layers mode task|explore|safety|social
layers capacity 5 | beta 1.5
layers link body on|off | link drives on|off
layers seed | candidates | clear | add <id> <kind> [sal]
layers focus [query]
layers cycle [novelty] [success] [query]
layers drives | drives step <nov> <suc> | drives reset
layers curiosity bonus <key> | shape <r> <i>
layers attn-demo | curiosity-demo
layers rl <agent_id>
attention focus|mode|capacity|demo
curiosity status|beta|bonus|reset|demo|mode
layerskit status|selftest|focus|cycle<\/p>\n\n\n\nCoupling<\/h2>\n\n\n\n
Input<\/strong><\/td> Effect<\/strong><\/td><\/tr> Mode explore<\/td> Higher \u03b2, novelty bias<\/td><\/tr> Mode task<\/td> Goal relevance bias<\/td><\/tr> Mode safety<\/td> Safety candidates prioritized; low \u03b2<\/td><\/tr> Drive curiosity\/fatigue<\/td> Scales beta_eff<\/td><\/tr> Body restorative\/recover\/safe<\/td> Suppresses exploration \u03b2<\/td><\/tr> Body equilibrium<\/td> Calls layers cycle<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n Building blocks reused<\/h2>\n\n\n\n
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Self-test<\/h2>\n\n\n\n
<\/em>layers selftest<\/p>\n\n\n\n